2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
Tongze Wang, Xiaohui Xie, Wenduo Wang +2
Network traffic classification (NTC) models often suffer severe performance degradation when deployed in real-world environments due to distribution shifts caused by changing netwo…
NetMamba+: A Framework of Pre-trained Models for Efficient and Accurate Network Traffic Classification
Tongze Wang, Xiaohui Xie, Wenduo Wang +6
With the rapid growth of encrypted network traffic, effective traffic classification has become essential for network security and quality of service management. Current machine le…
Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
Chuyi Wang, Xiaohui Xie, Tongze Wang +1
Pre-trained models operating directly on raw bytes have achieved promising performance in encrypted network traffic classification (NTC), but often suffer from shortcut learning-re…
NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
Tongze Wang, Xiaohui Xie, Wenduo Wang +3
Network traffic classification is a crucial research area aiming to enhance service quality, streamline network management, and bolster cybersecurity. To address the growing comple…